The Experts below are selected from a list of 33 Experts worldwide ranked by ideXlab platform
Aleksandra Wilczynska - One of the best experts on this subject based on the ideXlab platform.
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honey as an Environmental Marker
Food Chemistry, 2001Co-Authors: Piotr Przybylowski, Aleksandra WilczynskaAbstract:Abstract Contents of Zn, Cd and Pb in honey samples (15) from the Pomeranian region were determined by atomic absorption spectrometer AAS. The mean values for Zn, Cd and Pb were 7.76, 0.015 and 0.048 mg/kg, respectively. Also determined in the honey samples were invert sugar, sucrose, HMF, diastase activity, pH, electrical conductivity, moisture and mechanical pollutions. Pomeranian honeys were of good quality, but they were not free of heavy metals. Results suggested that honey may be useful for assessing the presence of Environmental contaminants.
Piotr Przybylowski - One of the best experts on this subject based on the ideXlab platform.
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honey as an Environmental Marker
Food Chemistry, 2001Co-Authors: Piotr Przybylowski, Aleksandra WilczynskaAbstract:Abstract Contents of Zn, Cd and Pb in honey samples (15) from the Pomeranian region were determined by atomic absorption spectrometer AAS. The mean values for Zn, Cd and Pb were 7.76, 0.015 and 0.048 mg/kg, respectively. Also determined in the honey samples were invert sugar, sucrose, HMF, diastase activity, pH, electrical conductivity, moisture and mechanical pollutions. Pomeranian honeys were of good quality, but they were not free of heavy metals. Results suggested that honey may be useful for assessing the presence of Environmental contaminants.
R D Ellender - One of the best experts on this subject based on the ideXlab platform.
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development of a swine specific fecal pollution Marker based on host differences in methanogen mcra genes
Applied and Environmental Microbiology, 2007Co-Authors: Jennifer A Ufnar, David F Ufnar, Shiao Y Wang, R D EllenderAbstract:Swine waste is a significant source of fecal pollution (1) and can cause contamination of soil, groundwater, and surface waters from lagoon overflow and the use of lagoon surface water for irrigation (19, 27). Studies have shown that spills from swine waste lagoons have high pollution potential with increased levels of nitrogen, phosphorus, and Clostridium perfringens counts of 40,000 CFU·ml−1 (23). A similar study found that addition of pig manure or fecal slurries to agricultural soils led to persistence of pathogens (Salmonella, Listeria, and Campylobacter spp.) on the soil surface (13). Because swine waste can lead to watershed pollution due to runoff from rain events or leaching into groundwater systems, it is important to develop swine-specific fecal Markers to identify the source of pollution for effective remediation efforts. Only two potential methods currently exist for identifying swine waste (7, 17). The STII swine bioMarker assay developed by Khatib et al. (17) shows specificity, sensitivity, and geographic stability. However, targeting toxin genes for host-specific source tracking may be problematic due to horizontal gene transfer events occurring in eubacterial populations (25), which may account for the presence of this gene in animals other than swine and humans with diarrhea (17). A swine-specific Marker developed using Bacteroides spp. also shows potential specificity for swine (7), although no tests have been conducted to determine the efficacy of this primer for microbial source tracking. Although many methanogens appear to be specific to the intestinal tract of animals and have the potential for use as host-specific Markers of fecal pollution (36), there are no known archaeal Markers of swine fecal pollution. Methanogens have been isolated in high numbers from the swine gastrointestinal system in counts of 106 to 108 methanogens per g wet feces (14). Only two methanogen species have been isolated and characterized from swine (5, 14), but molecular studies of swine fecal slurries and waste lagoons have indicated the presence of several unknown methanogens (32, 37) that, if host specific, may be useful for swine-specific Marker development. Because characterizing host distribution patterns of methanogens is essential to delineate potential host-specific archaeal indicators of fecal pollution, a large-scale examination of methanogen-specific mcrA genes in the feces of different host animals was conducted to identify sequences for swine-specific molecular Marker development. The mcrA gene, encoding the α subunit of methyl coenzyme M reductase, was targeted due to the conserved nature of the gene, the specificity of the mcrA gene to methanogens, and the use of this gene as an Environmental Marker for methanogens (10). This study describes the development of an archaeal swine-specific Marker of fecal pollution based on host distribution patterns of methanogens in the feces of six different animals (pig, deer, cow, sheep, horse, and chicken) and sewage.
Steven J Lehotay - One of the best experts on this subject based on the ideXlab platform.
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streamlined sample cleanup using combined dispersive solid phase extraction and in vial filtration for analysis of pesticides and Environmental pollutants in shrimp
Analytica Chimica Acta, 2014Co-Authors: Lijun Han, Yelena Sapozhnikova, Steven J LehotayAbstract:Abstract A new method of sample preparation was developed and is reported for the first time. The approach combines in-vial filtration with dispersive solid-phase extraction (d-SPE) in a fast and convenient cleanup of QuEChERS (quick, easy, cheap, effective, rugged, and safe) extracts. The method was applied to simultaneous analysis of 42 diverse pesticides and 17 Environmental contaminants, including polycyclic aromatic hydrocarbons, polychlorinated biphenyls (PCBs), and flame retardants, in shrimp as the sample matrix. Final extracts were analyzed by both low-pressure gas chromatography – triple quadrupole tandem mass spectrometry (LPGC-MS/MS), and high-performance liquid chromatography – triple quadrupole tandem mass spectrometry (HPLC-MS/MS) to provide a wide scope of analysis for targeted analytes. During method development, several different commercial sorbents for d-SPE were investigated and compared with respect to analyte recoveries. The method was validated at 10, 50, and 100 ng g −1 spiking levels (10-fold lower for PCBs), and the results for nearly all analytes were between 70 and 115% recoveries with ≤17% relative standard deviations. The method was shown to be simple, fast, and effective for multi-application analysis of chemical residues in the representative food and Environmental Marker matrix.
Carlos Herrero Latorre - One of the best experts on this subject based on the ideXlab platform.
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preliminary chemometric study on the use of honey as an Environmental Marker in galicia northwestern spain
Journal of Agricultural and Food Chemistry, 2006Co-Authors: Juan Carlos Rodriguez Garcia, Roberto Iglesias Rodriguez, Rosa Maria Pena Crecente, Julia Barciela Garcia, Sagrario Garcia Martin, Carlos Herrero LatorreAbstract:Thirteen metal elements were determined in 40 honey samples from Galicia with different Environmental origins: rural, urban, and industrial areas. The data set of the honey metallic profiles was studied with a double purpose: first, to make a preliminary evaluation of honey as an Environmental indicator in Galicia with the aim of monitoring pollution and, second, to compare the different capabilities of diverse pattern recognition prediction procedures for modeling the Environmental surrounding of the hive. A certain level of similarity for urban and industrial samples was obtained using principal component analysis and cluster analysis, whereas significant differences for urban and industrial honeys were found in relation to rural honey samples. Different classification rules to associate metal content of honeys with their Environmental surrounding were obtained by chemometric pattern recognition procedures. In general, the classification methods developed by neural networks provided better results than the traditional pattern recognition procedures. The metal profiles of honey seem to provide sufficient information to enable categorization criteria for classifying samples according to their Environmental surrounding. Thus, honey could be a potential pollution indicator for the Galician area.